IP Cores

Ready to Use FPGA Accelerators



Logistic Regression


Specifications:

  • Max Features 2047
  • Max Classes 64
  • Features Padding 16
  • Chunk Padding 8
  • Kernels 2 - 4
  • Process Train


KMeans


Specifications:

  • Max Features 8192
  • Max Classes 18192
  • Features Padding 16
  • Chunk Padding 8
  • Kernels 2 - 4
  • Process Train


Naive Bayes


Specifications:

  • Max Features 2047
  • Max Classes 64
  • Features Padding 16
  • Chunk Padding 8
  • Kernels 2 - 4
  • Process Inference


XGBoost


Specifications:

  • Max Features 4096
  • Max Depth 10
  • Features Padding 16
  • Chunk Padding 8
  • Kernels 2 - 4
  • Process Train


Smith Waterman


Specifications:

  • Kernels 1
  • Process Alignment


TractSeg


Specifications:

  • TBD TBD

Available for:
Coming soon